Related Experiment Video
Updated: Apr 10, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genome-wide association study-identified novel genetic loci for QT interval in Taiwan: implications for
Pang-Shuo Huang1,2,3,4, Guan-Wei Li5, Jen-Fang Cheng4,6,7
1Division of Cardiology, Department of Cardiovascular Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei, Taiwan.
Aims:
Prolonged QT interval is a well-established marker for malignant ventricular arrhythmias and sudden cardiac death (SCD). Although previous genome-wide association studies (GWASs) have identified multiple QT-associated loci, most were conducted in European cohorts, limiting generalizability to East Asian populations. This study aimed to identify genetic determinants of QTc interval in a Taiwanese population.
Methods And Results:
A multi-stage GWAS was performed on 13 020 Taiwan Biobank (TWB) participants genotyped using the Axiom Taiwan-specific TWB array, with ∼4.5 million imputed single nucleotide polymorphisms tested. Genome-wide significant loci (P < 5 × 10-8) were taken forwards for validation in an independent cohort of 2011 individuals from the NTU-AF Registry. Functional annotation included cis-expression quantitative trait locus assessment and Bayesian colocalization analyses in relevant cardiac and vascular tissues. Eleven significant loci were identified, including known QT loci/genes (KCNQ1, KCNH2, KCNE1, NOS1AP). Two novel loci-rs55797717 (CD46/MIR29B2CHG) at 1q32.2 and rs76715387 (GJA1) at 6q22.31-were identified and replicated in an independent population. Colocalization analyses linked these variants to gene expression in cardiac and vascular tissues (rs55797717 with CD46 expression in the atrial appendage and MIR29B2CHG in the left ventricle; rs76715387 with GJA1 expression in the tibial artery).
Conclusion:
This is the first GWAS of QT interval in a Taiwanese cohort, revealing novel loci at GJA1 and CD46/MIR29B2CHG. These genes may influence ventricular repolarization and susceptibility to SCD through electrotonic load (GJA1), inflammation (CD46), or microRNA (MIR29B2CH).
More Related Videos
08:27Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
04:41Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Related Concept Videos
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Single Nucleotide Polymorphisms-SNPs
Pharmacogenomics: Identification of New Drug Targets
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu